aliyun / aliyun-datahub-sdk-python

Intro

For duplication, we look at places in code where there are 6 or more lines of code that are exactly the same.
Before duplication is calculated, the code is cleaned to remove empty lines, comments, and frequently duplicated constructs such as imports.
You should aim at having as little as possible (<5%) of duplicated code as high-level of duplication can lead to maintenance difficulties, poor factoring, and logical contradictions.

Learn more...

Duplication Overall

19% duplication:

7,955 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,528 duplicated lines

326 duplicates

dependency graphs: 2D graph | 3D graph | 3D graph (with duplicates)...

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 50 longest duplicates.

See data for all 326 duplicates...

Size	#	Folders	Files	Lines	Code
30	x 2	datahub/models datahub/models	params.py shard.py	866:904 (3%) 108:146 (20%)	view
27	x 2	datahub/models datahub/models	results.py results.py	1070:1101 (2%) 1112:1143 (2%)	view
21	x 2	datahub/models datahub/models	connector.py connector.py	698:724 (2%) 821:847 (2%)	view
21	x 2	datahub/models datahub/models	connector.py connector.py	821:847 (2%) 1164:1190 (2%)	view
21	x 2	datahub/models datahub/models	connector.py connector.py	698:724 (2%) 1164:1190 (2%)	view
19	x 2	datahub/models datahub/models	params.py results.py	118:142 (2%) 245:269 (1%)	view
18	x 2	datahub/models datahub/models	connector.py connector.py	928:950 (2%) 1164:1186 (2%)	view
18	x 2	datahub/models datahub/models	connector.py connector.py	698:720 (2%) 928:950 (2%)	view
18	x 2	datahub/models datahub/models	connector.py connector.py	821:843 (2%) 928:950 (2%)	view
17	x 2	datahub/models datahub/models	connector.py connector.py	1068:1088 (2%) 1172:1192 (2%)	view
17	x 2	benchmarks benchmarks	perf_get_records.py perf_put_records.py	27:47 (26%) 29:49 (20%)	view
16	x 2	datahub/models datahub/models	params.py params.py	770:789 (1%) 1044:1063 (1%)	view
15	x 2	datahub/models datahub/models	results.py results.py	129:147 (1%) 285:303 (1%)	view
15	x 2	datahub/models datahub/models	connector.py connector.py	829:847 (1%) 1068:1086 (1%)	view
15	x 2	datahub/models datahub/models	connector.py connector.py	706:724 (1%) 1068:1086 (1%)	view
15	x 2	benchmarks benchmarks	perf_get_records.py perf_put_records.py	57:71 (23%) 61:75 (18%)	view
14	x 2	datahub/models datahub/models	params.py params.py	1105:1123 (1%) 1160:1178 (1%)	view
14	x 2	datahub/models datahub/models	connector.py subscription.py	239:256 (1%) 167:184 (8%)	view
14	x 2	datahub datahub	implement.py implement.py	844:860 (2%) 899:915 (2%)	view
13	x 2	datahub/models datahub/models	params.py results.py	1107:1123 (1%) 1328:1344 (1%)	view
13	x 2	datahub/models datahub/models	connector.py connector.py	476:492 (1%) 581:597 (1%)	view
13	x 2	datahub/client/common datahub/models	config.py connector.py	41:57 (8%) 936:952 (1%)	view
13	x 2	datahub/models datahub/models	params.py results.py	1162:1178 (1%) 1328:1344 (1%)	view
13	x 2	datahub/models datahub/models	results.py subscription.py	121:137 (1%) 70:86 (7%)	view
13	x 2	datahub/models datahub/models	params.py params.py	59:75 (1%) 83:99 (1%)	view
13	x 2	datahub/auth datahub/models	aliyun_account.py connector.py	58:74 (20%) 351:367 (1%)	view
13	x 2	datahub/auth datahub/models	aliyun_account.py connector.py	58:74 (20%) 936:952 (1%)	view
13	x 2	datahub/models datahub/models	connector.py connector.py	1020:1036 (1%) 1148:1164 (1%)	view
13	x 2	datahub/auth datahub/client/common	aliyun_account.py config.py	58:74 (20%) 41:57 (8%)	view
13	x 2	datahub/client/common datahub/models	config.py connector.py	41:57 (8%) 351:367 (1%)	view
13	x 2	datahub/models datahub/models	connector.py connector.py	351:367 (1%) 936:952 (1%)	view
12	x 2	datahub/auth datahub/models	aliyun_account.py connector.py	58:72 (19%) 829:843 (1%)	view
12	x 2	datahub/auth datahub/models	aliyun_account.py connector.py	58:72 (19%) 1172:1186 (1%)	view
12	x 2	datahub/client/common datahub/models	config.py connector.py	41:55 (8%) 829:843 (1%)	view
12	x 2	datahub/client/common datahub/models	config.py connector.py	41:55 (8%) 1172:1186 (1%)	view
12	x 2	datahub/models datahub/models	params.py results.py	1215:1229 (1%) 1328:1342 (1%)	view
12	x 2	datahub/models datahub/models	connector.py connector.py	936:950 (1%) 1068:1082 (1%)	view
12	x 2	datahub/models datahub/models	connector.py connector.py	351:365 (1%) 1068:1082 (1%)	view
12	x 2	datahub/models datahub/models	connector.py connector.py	351:365 (1%) 706:720 (1%)	view
12	x 2	datahub/auth datahub/models	aliyun_account.py connector.py	58:72 (19%) 1068:1082 (1%)	view
12	x 2	datahub/auth datahub/models	aliyun_account.py connector.py	58:72 (19%) 706:720 (1%)	view
12	x 2	datahub/models datahub/models	params.py params.py	1107:1121 (1%) 1215:1229 (1%)	view
12	x 2	datahub/client/common datahub/models	config.py connector.py	41:55 (8%) 706:720 (1%)	view
12	x 2	datahub/client/common datahub/models	config.py connector.py	41:55 (8%) 1068:1082 (1%)	view
12	x 2	datahub/models datahub/models	connector.py connector.py	351:365 (1%) 1172:1186 (1%)	view
12	x 2	datahub/models datahub/models	params.py params.py	1162:1176 (1%) 1215:1229 (1%)	view
12	x 2	datahub/models datahub/models	connector.py connector.py	351:365 (1%) 829:843 (1%)	view
11	x 2	datahub/models datahub/models	params.py params.py	604:618 (1%) 631:645 (1%)	view
11	x 2	datahub/models datahub/models	params.py params.py	924:938 (1%) 949:963 (1%)	view
11	x 2	datahub/models datahub/models	params.py params.py	59:73 (1%) 924:938 (1%)	view